šŸ“¢ Too many exams? Don’t know which one suits you best? Book Your Free Expert šŸ‘‰ call Now!


    Question

    In hypothesis testing, failing to reject a false null

    hypothesis is known as:
    A Type I error Correct Answer Incorrect Answer
    B Type II error Correct Answer Incorrect Answer
    C Correct decision Correct Answer Incorrect Answer
    D Power of the test Correct Answer Incorrect Answer
    E Level of significance Correct Answer Incorrect Answer

    Solution

    • In hypothesis testing, there are two types of errors:
      • Type I Error ( α ): Ā Rejecting theĀ  true Ā null hypothesis (H ā‚€ ). A "false positive."
      • Type II Error ( β ): Ā Failing to reject (i.e., accepting) aĀ  false Ā null hypothesis (H ā‚€ ). A "false negative."
        The  power of a test (1- β )  is the probability of correctly rejecting a false null hypothesis. So, the error described in the question is a Type II error.

    Practice Next
    ask-question